TY - GEN
T1 - Analyzing bike repositioning strategies based on simulations for public bike sharing systems
T2 - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
AU - Wang, I. Lin
AU - Wang, Chun Wei
PY - 2013
Y1 - 2013
N2 - With the contributions on reducing the traffic congestion and air pollution, bike sharing systems become more popular recently in many metropolitan areas worldwide. Without effective bike redistribution strategies, a bike rental station may easily become out or full of bikes, which incurs the customer inconvenience and conflicts its purpose. In order to evaluate the impacts and performance on different bike redistribution strategies, we propose and simulate several bike redistribution strategies with and without different levels of real-time or historical bike rental information. In particular, for a system that conducts no or simple bike repositioning operations, we further consider whether the system is capable of learning preferred bike-return destinations specified by commuters, suggesting bike-return destinations to customers, or exploiting the historical trend of commuter traffics.
AB - With the contributions on reducing the traffic congestion and air pollution, bike sharing systems become more popular recently in many metropolitan areas worldwide. Without effective bike redistribution strategies, a bike rental station may easily become out or full of bikes, which incurs the customer inconvenience and conflicts its purpose. In order to evaluate the impacts and performance on different bike redistribution strategies, we propose and simulate several bike redistribution strategies with and without different levels of real-time or historical bike rental information. In particular, for a system that conducts no or simple bike repositioning operations, we further consider whether the system is capable of learning preferred bike-return destinations specified by commuters, suggesting bike-return destinations to customers, or exploiting the historical trend of commuter traffics.
UR - http://www.scopus.com/inward/record.url?scp=84890083804&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890083804&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2013.9
DO - 10.1109/IIAI-AAI.2013.9
M3 - Conference contribution
AN - SCOPUS:84890083804
SN - 9780769550718
T3 - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
SP - 306
EP - 311
BT - Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
Y2 - 31 August 2013 through 4 September 2013
ER -